自适应量子拓扑网络控制

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum topology networks (QTN) offer unprecedented control over quantum systems due to their inherent robustness and unique topological properties. This paper investigates a novel control algorithm, "Adaptive Quantum Topology Control," designed to harness these properties for automated network structure manipulation and state prediction. We propose a mechanism utilizing entangled qubits to dynamically adjust network topology, enabling precise and predictable behavior. The core claim centers on the ability of this algorithm to autonomously control a QTN, predicting its future state based on observed network evolution. This represents a significant advancement over traditional network control techniques, particularly when applied to complex, non-linear quantum systems. The paper details the algorithm's architecture, explores its potential applications, and provides a preliminary analysis of its performance.

DOI: 10.5281/zenodo.22332151

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